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DESCRIPTION:**This course is now full with a waiting list.**\n# Overview\nP
 ython is an open-source and general-purpose scripting language which runs 
 on all major operating systems. It was designed to be easily read and writ
 ten with comparatively simple syntax. Over the recent years Python has bec
 ome a programming language of choice for bioinformatics and data analysis\
 , and in particular for applications that make use of machine learning or 
 deep-learning. \nHowever\, these applications usually require a good maste
 ring of a few modules (such as numpy\, or pandas) that can go beyond basic
  Python commands.\nThis 1-day course will introduce modules and recipes to
  unlock the potential of Python for day-to-day data exploration and analys
 is of real-life data-sets.\n\nTopics that will be covered in this course i
 nclude:\n* Parsing\, transforming\, and exploring data using pandas\n* Per
 forming statistical simulation and testing with numpy/scipy\n* Representin
 g data in an efficient and impactful manner using seaborn\n* Speeding-up y
 our Python code with numba and more\n\n\n\n# Audience\nThis course is addr
 essed to life scientists\, bioinformaticians and researchers who are famil
 iar with writing Python code and core Python elements\, and would like to 
 explore if further in their daily data wrangling and exploration tasks. \n
 \n# Learning outcomes\nAt the end of this course\, the participants are ex
 pected to:\n* Parse any tabulated data set in a couple of lines \n* Summar
 ize and perform quality control on their data \n* Filter\, sub-sample or a
 ggregate specific parts of their data-set \n* Generate clear visual repres
 entations to explore data and communicate their findings \n\n\n# Prerequis
 ites\n#### Knowledge / competencies\nThe course is targeted to life scient
 ists\, bioinformaticians\, and researchers who are already familiar with t
 he Python programming language and who have basic knowledge on statistics.
  The competences and knowledge levels required correspond to those taught 
 in courses such as: [First Steps with Python in Life Sciences](https://www
 .sib.swiss/training/course/20220928_PYTFS)\, [Introduction to statistics w
 ith Python](https://www.sib.swiss/training/course/20220620_STATP) and [Int
 roduction to statistics with R](https://www.sib.swiss/training/course/2022
 0207_STATR).\nTest your skills with Python and statistics with [the quiz h
 ere](https://forms.gle/iCydNS8LUUkm7csz7)\, before registering. We recomme
 nd 4 out of 6 correct answers.\n\nA few days before the course\, the stude
 nts will receive a small "warm-up" jupyter notebook to go through. This wi
 ll be in order to help them get a quick refresher on their python know-how
  and check that all libraries are working properly. \n\n\n#### Technical\n
 You are required to use your own laptop\, with a recent Python 3 version. 
 \nThe following modules should be installed on your computer (using [conda
 ](https://conda.io/projects/conda/en/latest/user-guide/concepts/installing
 -with-conda.html) for example):\n* Jupyter Notebook\n* Sandas\n* Seaborn\n
 * Numba\n\n\n# Application\nThe registration fees for academics are **60 C
 HF** and **300 CHF** for for-profit companies.\n\nYou will be informed by 
 email of your registration confirmation. Upon reception of the confirmatio
 n email\, participants will be asked to confirm attendance by paying the f
 ees within 5 days.\n\nApplications will close as soon as the places will b
 e filled up. Deadline for free-of-charge cancellation is set to **06/10/20
 22**. Cancellation after this date will not be reimbursed. Please note tha
 t participation in SIB courses is subject to our [general conditions](http
 ://www.sib.swiss/training/terms-and-conditions).\n\n# Venue and Time\nThis
  course will be streamed using Zoom.\n\nThe course will start at 9:00 and 
 end around 17:00. \n\nPrecise information will be provided to the particip
 ants in due time.\n\n\n#  Additional information\nCoordination: Valeria Di
  Cola\,  SIB Training Group.\n\nWe will recommend 0.25 ECTS credits for th
 is course (given a passed exam at the end of the course).\n\nYou are welco
 me to register to the SIB courses mailing list to be informed of all futur
 e courses and workshops\, as well as all important deadlines using the for
 m [here](https://lists.sib.swiss/mailman/listinfo/courses).\n\nPlease note
  that participation in SIB courses is subject to our [general conditions](
 http://www.sib.swiss/training/terms-and-conditions).\n\nSIB abides by the 
 [ELIXIR Code of Conduct](https://elixir-europe.org/events/code-of-conduct)
 . Participants of SIB courses are also required to abide by the same code.
 \n\nFor more information\, please contact [training@sib.swiss](mailto://tr
 aining@sib.swiss).
SUMMARY:Intermediate Python
URL;VALUE=URI:https://www.sib.swiss/training/course/20221020_INTPY
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